Genai

AWS re:Invent 2025 — Day 0: Warming Up the Engines

Day 0 at re:Invent 2025: Kiro’s haunted house, Midday Madness, Road to re:Invent, and the quiet build-up before the announcements land.

It’s Day 0 of re:Invent — technically not the official start, but anyone who’s been here before knows it’s when the week unofficially begins. This is the day when the city shifts gears, people converge, badges get claimed, airport reunions happen, and AWS quietly warms up the engines.

No announcements yet — not one.
And honestly, I don’t mind.
Today wasn’t about features or service updates. It was about people, energy, and that unmistakable build-up that says: It’s about to begin.

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AWS pre:Invent 2025 — The Season AWS Quietly Turns Up the Volume

A builder’s guide to the announcements shaping the next wave of AWS services, from Nova to Q Developer/Kiro.

There’s no official banner that says Welcome to pre:Invent, but you know it when it starts. For me, it was around September 30th — the day announcements started coming in hot and heavy.
As of 23rd November, AWS has quietly dropped 560 updates. That’s not marketing fluff. That’s real features, real services, and a lot of “Wait—when did that get announced?”

UPDATE: At the time of publishing the number of updates had risen to over 600

One of the earliest surprises?
CodeCommit emerged from the dead.
Not just patched — revived. And suddenly, AWS’s developer story started feeling different. Especially with Kiro going GA and Q Developer updates waiting in the wings.

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It’s not a chat bot: Writing Documentation

Generative AI use case that just work

As developers, we’ve all encountered it: the dreaded task of writing documentation. Whether it’s explaining your own code or trying to understand someone else’s, a lack of clear documentation can be a major headache. Often, we spend hours deciphering code when we could be writing new features or fixing bugs.

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Build an AI image catalogue! - Claude 3 Haiku

Building an Intelligent Photo Album with AWS

If you’re into your Machine Learning/Artificial Intelligence/Generative AI and have been living under a rock, it may be news to you that Anthropic have now released their latest version of the Claude Large Language Model (LLM), which they have predictively named, Claude 3. But what’s not so predictable is that not only is this the third generation of Claude, but there are also three different variations of Claude.

In this post, we’re going to explore the creation of a basic, serverless, image cataloguing application using Claude 3 and explore how it enhances the functionality of our AI photo album application. Powered by Amazon Bedrock, this application leverages the poetic prowess of Claude 3 Haiku to provide insightful summaries of uploaded images.

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